Production and Operations Management
Residuals are the differences between the observed values and the predicted values generated by a regression model. They provide insights into how well the model fits the data, with a smaller residual indicating a better fit. Analyzing residuals helps identify patterns or anomalies that suggest potential improvements in the model or indicate underlying issues in the data.
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